Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/119823
Authors: 
Bottazzi, Giulio
Gragnollati, Ugo M.
Vanni, Fabio
Year of Publication: 
2014
Series/Report no.: 
LEM Working Paper Series 2014/01
Abstract: 
A stochastic discrete choice model and its related estimation method are presented which allow to disentangle non-linear externalities from the intrinsic features of the objects of choice and from the idiosyncratic preferences of agents. Having veried for the ergodicity of the underlying stochastic process, parameter estimates are obtained through numerical methods and so is their statistical signicance. In particular, optimization rests on successive parabolic interpolation. Finally, the model and its related estimation method are applied to the case of rm localization using Italian sectoral census data.
Subjects: 
Externalities
Heterogeneity
Computational methods
Firm localization
JEL: 
C12
C13
C46
C52
R12
Document Type: 
Working Paper

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